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Geforce GTX1180/2080 Speculation thread

It's got plenty to go.

Machine learning is one of the rare tech buzzwords that is actually going to be a huge sea change in society. nVidia doesn't have any serious competition in this area, they're going to make ridiculous amounts of money selling hardware to support the industry.
 
Machine learning is one of the rare tech buzzwords that is actually going to be a huge sea change in society.

Then there are other companies you should also be investing in,since Nvidia isn't the only company doing it,and they are going via sideways methods(not GPUs) of doing it and some have significant financial backing. Expect to hear more of them as time progresses.

Nvidia is making the RT play as machine learning is getting more and more crowded,and they want to have a head start in the VFX industry supplying hardware.

Gamers are a secondary market - its why all the Turing SKUs are fully enabled for the commercial cards and why Nvidia has pushed die sizes so much.
 
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Then there are other companies you should also be investing in,since Nvidia isn't the only company doing it,and they are going via sideways methods(not GPUs) of doing it. Expect to hear more of them as time progresses.
I don't disagree but may come with more risks. Nvidia is a safer bet, covering more markets and is maturing like an Apple-esque company, hence they will likely get away with £1099 GPU's just as people will pay £1000+ for a stuuuuuupid phone (IMO :p)
Investing is of course about not putting all eggs in one basket tho so other companies worth investigating in different tech fields.
 
We have been here before this is from anandtech in 2007

"NVIDIA owns the high end graphics market. For the past six months, there has been no challenge to the performance leadership of the GeForce 8800 GTX. Since the emergence of Windows Vista, NVIDIA hardware has been the only platform to support DX10. And now, before AMD has come to market with any competing solution whatsoever, NVIDIA is releasing a refresh of its top of the line part.
The GeForce 8800 Ultra debuting today doesn't have any new features over the original 8800 GTX. The GPU is still manufactured using a 90nm process, and the transistor count hasn't changed. This is different silicon (A3 revision), but the GPU has only really been tweaked rather than redesigned.

Not only will NVIDIA's new part offer higher performance than the current leader, but it will introduce a new price point in the consumer graphics market moving well beyond the current $600 - $650 set by the 8800 GTX, skipping over the $700 mark to a new high of $830. That's right, this new high end graphics card will be priced $230 higher than the current performance leader. With such a big leap in price, we had hoped to see a proportional leap in performance. Unfortunately, for the 38% increase in price, we only get a ~10% increase in core and shader clock speeds, and a 20% increase in memory clock."

Think that's the hope everyone needs that hopefully the inflated prices of the new generation is just for this generation and will come back down in the next when there's hopefully competition.
 
I don't disagree but may come with more risks. Nvidia is a safer bet, covering more markets IMO and is maturing like an Apple-esque company, hence they will likely get away with £1099 GPU's just as people will pay £1000+ for a phone.
Investing is of course about not putting all eggs in one basket tho so other companies worth investigating in different tech fields.

Yeah,but some of these companies are not as riskier as you might think,due to their links with certain bigger companies with plenty of money too. The thing is you have to consider Nvidia like Intel wants huge margins,so if other competitors come along who are willing to be more flexible,make far more specialised hardware and do it cheaper,they start to eat away at the share and business of bigger incumbents. My view with Turing is Nvidia certainly knows that machine learning is becoming far more crowded now,but the VFX market is bigger than PC gaming,and they are trying to push hard into it. Turing makes less sense from a pure gaming perspective due to its huge die sizes and lack of software support for its major features,but it makes more sense for agressively entering VFX,whilst using consumer sales to soak up poorer quality GPUs and giving Nvidia a fallback option in case VFX sales don't scale up as high as they want them to do. It also means Nvidia can reduce the number of lines they have. It used to be common to have one line of GPUs handling all the tasks - they split the lines with Maxwell until now,and its partly why AMD had no real way of competing,as Nvidia could specialise products better but the costs looked enormous, so I was wondering how long it would be sustainable since tape outs are probably getting more and more expensive with each new generation. Now,it seems they are going back to the old ways of doing things of "one size fits all" GPUs,and it means normally all those other features wouldn't be used for gaming(the machine learning aspects fo example),now have some kind of use in games,which is what I find clever.

The issue with the AMD graphics division for years now is that they do probably have some very good engineers(considering how much more resources Nvidia has),but I do think unlike Nvidia their focus wasn't quite there,and it was compounded by the lack of R and D money,especially in light of Zen R and D costs. Hopefully,with some of old ATI people back in charge,they can focus better,and even if they can't match Nvidia product for product,at least do the products they release better.
 
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It's got plenty to go.

Machine learning is one of the rare tech buzzwords that is actually going to be a huge sea change in society. nVidia doesn't have any serious competition in this area, they're going to make ridiculous amounts of money selling hardware to support the industry.

Hahaha. Do you believe what you write?
True atm the V100 is fast but costs 20 times more than the Vega 64 for 20% more per on AI (tensor flow) matrix computing. Without Vega having dedicated units like tensor cores.

Or 8 times more for 10% gap between the professional Vega (and Vega FE) and the V100....
 
Ah I didn't think they'd ship that quick! I may have got one otherwise haha. Let us know how it goes! My "AIB nonsense" is arriving Monday :D If they can find my new build house that is...
Arrived 11am, ordered at 23:36 on the 17th. So 1 working day is nice :). Good luck with yours
 
Then there are other companies you should also be investing in,since Nvidia isn't the only company doing it,and they are going via sideways methods(not GPUs) of doing it and some have significant financial backing. Expect to hear more of them as time progresses.

Nvidia is making the RT play as machine learning is getting more and more crowded,and they want to have a head start in the VFX industry supplying hardware.

Gamers are a secondary market - its why all the Turing SKUs are fully enabled for the commercial cards and why Nvidia has pushed die sizes so much.

Got some suggestions to look into? nVidia is my main focus as I understand the tech, and as mentioned, they aren't as risky as say, a software company in that field. nVidia are in the business of selling bricks in a housing boom, which is a good place to be :)

Hahaha. Do you believe what you write?
True atm the V100 is fast but costs 20 times more than the Vega 64 for 20% more per on AI (tensor flow) matrix computing. Without Vega having dedicated units like tensor cores.

Or 8 times more for 10% gap between the professional Vega (and Vega FE) and the V100....

In grown-up land, that you'll presumably reach some day, things are more complicated than petty fanboy rivalries....which is why I am invested in both nVidia and AMD. The former because of their huge lead in the massively growing GPU market, the latter with huge growth potential in CPU compute.
 
Hahaha. Do you believe what you write?
True atm the V100 is fast but costs 20 times more than the Vega 64 for 20% more per on AI (tensor flow) matrix computing. Without Vega having dedicated units like tensor cores.

Or 8 times more for 10% gap between the professional Vega (and Vega FE) and the V100....
He is spot on though. Deep learning is something that NVidia do well and have the libraries to make life easy for the programmer. AMD has very limited support when it comes to deep learning and there is very limited support for networks, if at all.
 
He is spot on though. Deep learning is something that NVidia do well and have the libraries to make life easy for the programmer. AMD has very limited support when it comes to deep learning and there is very limited support for networks, if at all.

Exactly. Anyone looking to get into deep learning right now is going to be presented with the same recommendation - Buy an nVidia GPU. You *can* learn on AMD but it's making life more difficult for yourself. Most people are training on nVidia, learning on nVidia, and taking that knowledge into the workplace.

That sort of mindshare dominance is very, very hard to claw back.
 
We have been here before this is from anandtech in 2007

"NVIDIA owns the high end graphics market. For the past six months, there has been no challenge to the performance leadership of the GeForce 8800 GTX. Since the emergence of Windows Vista, NVIDIA hardware has been the only platform to support DX10. And now, before AMD has come to market with any competing solution whatsoever, NVIDIA is releasing a refresh of its top of the line part.
The GeForce 8800 Ultra debuting today doesn't have any new features over the original 8800 GTX. The GPU is still manufactured using a 90nm process, and the transistor count hasn't changed. This is different silicon (A3 revision), but the GPU has only really been tweaked rather than redesigned.

Not only will NVIDIA's new part offer higher performance than the current leader, but it will introduce a new price point in the consumer graphics market moving well beyond the current $600 - $650 set by the 8800 GTX, skipping over the $700 mark to a new high of $830. That's right, this new high end graphics card will be priced $230 higher than the current performance leader. With such a big leap in price, we had hoped to see a proportional leap in performance. Unfortunately, for the 38% increase in price, we only get a ~10% increase in core and shader clock speeds, and a 20% increase in memory clock."

Didn’t buy one of those either!
 
You obviously don't realise just how good this forum looks when it's ray-traced on a £1200 RTX card. Who needs games when everything on this forum is so much faster using RTX than on a Vega 64 or 1080ti :D

You're aware that modern computers are capable of having a browser open while you're waiting for blender to render and your code to compile, right?

I know I know, you're joking :D

But you guys must get really outraged when you see professional carpenters using their extremely expensive tools to screw in a door hinge.
 
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We have been here before this is from anandtech in 2007

"NVIDIA owns the high end graphics market. For the past six months, there has been no challenge to the performance leadership of the GeForce 8800 GTX. Since the emergence of Windows Vista, NVIDIA hardware has been the only platform to support DX10. And now, before AMD has come to market with any competing solution whatsoever, NVIDIA is releasing a refresh of its top of the line part.
The GeForce 8800 Ultra debuting today doesn't have any new features over the original 8800 GTX. The GPU is still manufactured using a 90nm process, and the transistor count hasn't changed. This is different silicon (A3 revision), but the GPU has only really been tweaked rather than redesigned.

Not only will NVIDIA's new part offer higher performance than the current leader, but it will introduce a new price point in the consumer graphics market moving well beyond the current $600 - $650 set by the 8800 GTX, skipping over the $700 mark to a new high of $830. That's right, this new high end graphics card will be priced $230 higher than the current performance leader. With such a big leap in price, we had hoped to see a proportional leap in performance. Unfortunately, for the 38% increase in price, we only get a ~10% increase in core and shader clock speeds, and a 20% increase in memory clock."


There is another side to this story though. That high price only lasted a couple of months. They dropped in price very quickly as they didn't sell well. And Nvidia also released the 8800GT which was a much cheaper price but nearly the same performance as the top cards.

So yes, there was no competition, but, Nvidia had good options throughout their product stack. It didn't feel like they were milking the market back then.
 
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